Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "123" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 60 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 58 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459875 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.935748 | 14.339033 | 2.104990 | 2.443745 | -1.248689 | 0.198955 | 0.224346 | 1.378840 | 0.7263 | 0.7316 | 0.3865 | nan | nan |
| 2459874 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 13.440780 | 19.793135 | 0.534326 | 0.863160 | -0.787142 | 0.263113 | 0.358662 | 0.690853 | 0.7127 | 0.6956 | 0.3798 | nan | nan |
| 2459873 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.250099 | 15.226107 | 1.245036 | 1.520562 | -1.141935 | 0.772341 | -0.534611 | -0.329831 | 0.7208 | 0.7060 | 0.3701 | nan | nan |
| 2459872 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.469198 | 13.850278 | 1.477072 | 1.906658 | -1.438637 | 0.410113 | 0.070616 | -0.085472 | 0.7081 | 0.6927 | 0.3934 | nan | nan |
| 2459871 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.851535 | 10.892439 | 1.789583 | 1.957000 | -1.093527 | 0.096336 | 0.089824 | 0.139838 | 0.7168 | 0.6951 | 0.3838 | nan | nan |
| 2459870 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.926053 | 17.392706 | 0.993875 | 1.471487 | -0.823437 | 0.247619 | -0.182057 | 0.255988 | 0.7261 | 0.7130 | 0.3707 | nan | nan |
| 2459869 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.059381 | 14.958908 | 0.964126 | 1.458700 | -0.462569 | 0.342020 | -0.273226 | -0.033198 | 0.7320 | 0.7275 | 0.3687 | nan | nan |
| 2459868 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459867 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.445053 | 11.133306 | 1.246180 | 1.741574 | -1.097742 | -0.138680 | 0.002332 | -0.220903 | 0.7262 | 0.7094 | 0.3846 | nan | nan |
| 2459866 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.246336 | 12.495589 | 1.292272 | 2.090403 | -1.294246 | 0.311605 | -0.653473 | -0.740637 | 0.7251 | 0.7096 | 0.3788 | nan | nan |
| 2459865 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.484155 | 14.887343 | 1.681503 | 2.024749 | -1.403429 | 1.332755 | 0.122655 | -0.279302 | 0.7405 | 0.7213 | 0.3537 | nan | nan |
| 2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.076482 | 15.487307 | -0.036870 | 0.105559 | -1.026236 | -0.567453 | -0.069972 | 0.630539 | 0.7242 | 0.7043 | 0.3967 | nan | nan |
| 2459863 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.698293 | 11.262475 | -0.798395 | 0.393599 | -0.539196 | 2.233233 | -0.413118 | -0.225171 | 0.7191 | 0.6952 | 0.3905 | nan | nan |
| 2459862 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.869449 | 12.369826 | 0.658128 | 0.097564 | -0.682208 | -1.080158 | -0.553420 | -0.593003 | 0.7033 | 0.7187 | 0.4148 | nan | nan |
| 2459861 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.025123 | 9.525082 | -0.771784 | 0.655614 | 0.022649 | 1.607419 | -0.329606 | -0.202206 | 0.7312 | 0.7000 | 0.4062 | nan | nan |
| 2459860 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.840048 | 10.279040 | 0.765243 | 0.060865 | -1.066186 | 0.011209 | -0.313197 | -0.532069 | 0.7404 | 0.7090 | 0.3972 | nan | nan |
| 2459859 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.483541 | 8.341480 | -0.899819 | 0.691937 | -0.005580 | 1.534521 | -0.560089 | -0.410991 | 0.7442 | 0.7145 | 0.3946 | nan | nan |
| 2459858 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.017819 | 9.328882 | -0.922921 | 0.604284 | 0.260216 | 2.102357 | -0.559980 | -0.263395 | 0.7536 | 0.7192 | 0.4054 | 3.040446 | 2.773064 |
| 2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.569482 | 6.099501 | 1.550432 | 2.009024 | 3.442814 | 0.710322 | 2.422557 | 9.785081 | 0.0262 | 0.0242 | 0.0008 | nan | nan |
| 2459856 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.451875 | 12.993538 | 1.039295 | 0.000499 | -1.162905 | -0.108910 | -0.870204 | -0.513154 | 0.7494 | 0.7348 | 0.3863 | 3.466577 | 2.898505 |
| 2459855 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.697784 | 14.861576 | 0.822616 | -0.133902 | -0.395788 | -0.309701 | -0.800898 | -0.704598 | 0.7371 | 0.7492 | 0.4180 | 3.645196 | 2.791473 |
| 2459854 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.766460 | 15.241089 | 1.600543 | -0.153254 | -0.709216 | -0.598037 | -0.811745 | -0.430253 | 0.7486 | 0.7657 | 0.4274 | 4.018913 | 3.170114 |
| 2459853 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.461234 | 11.100985 | 2.529739 | -0.045194 | -0.941873 | 0.066857 | -0.242151 | 0.026592 | 0.7688 | 0.7239 | 0.4108 | 3.875547 | 3.006906 |
| 2459852 | digital_ok | 100.00% | 29.19% | 29.19% | 0.00% | 100.00% | 0.00% | 6.428830 | 8.809410 | 2.565430 | -0.289284 | -0.163004 | 0.287669 | 1.335182 | -0.352611 | 0.6304 | 0.6175 | 0.1373 | 4.892338 | 4.327822 |
| 2459851 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.370721 | 9.110197 | 3.050521 | 0.045670 | 0.853798 | -0.080084 | 0.593489 | 0.031703 | 0.7894 | 0.7642 | 0.3160 | 3.664344 | 2.604617 |
| 2459850 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.193433 | 11.233578 | 2.520330 | -0.036369 | -0.320685 | -0.351297 | -0.222183 | -0.241609 | 0.7730 | 0.7810 | 0.3398 | 4.041282 | 2.986680 |
| 2459849 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.988155 | 12.934854 | 6.508980 | 0.735988 | -0.891003 | 0.747560 | -0.209737 | -0.064169 | 0.7725 | 0.7737 | 0.3455 | 4.872887 | 3.639140 |
| 2459848 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.235065 | 11.627961 | 4.727008 | 1.140925 | -0.159774 | -0.736889 | -0.579437 | -0.535307 | 0.7539 | 0.7712 | 0.3680 | 5.773231 | 3.672452 |
| 2459847 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.277414 | 13.052864 | 4.402094 | 0.994788 | 0.076965 | -0.062763 | -0.844740 | -0.709943 | 0.7554 | 0.7125 | 0.4223 | 14.392902 | 8.951409 |
| 2459846 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.408470 | 12.813623 | 3.850362 | 0.472398 | -1.180999 | 1.193353 | -0.800207 | -0.457030 | 0.8551 | 0.7009 | 0.4781 | 3.344816 | 2.430027 |
| 2459845 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459844 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459843 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459842 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.880191 | 6.972660 | 0.949020 | 1.376549 | 0.064538 | 0.438093 | 0.066847 | 0.483128 | 0.7821 | 0.7325 | 0.2302 | 5.725487 | 4.408420 |
| 2459841 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459840 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 65.679330 | 50.699200 | 6.660757 | 7.378229 | 1.849084 | 5.059819 | 6.769161 | 9.591688 | 0.0261 | 0.0217 | 0.0017 | nan | nan |
| 2459839 | digital_ok | 100.00% | - | - | - | - | - | 16.807541 | 12.892934 | 15.748026 | 17.957567 | 1.561334 | 2.475062 | 8.886576 | 13.949819 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.382065 | 10.665647 | 1.391113 | 0.460077 | -0.905498 | 1.581324 | -0.365317 | 0.202755 | 0.7747 | 0.7499 | 0.3718 | 7.475748 | 5.341363 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0340 | 0.0327 | 0.0011 | nan | nan |
| 2459835 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.233785 | -0.774739 | -0.820229 | 0.140334 | 1.119764 | -1.038249 | 0.197331 | 1.031067 | 0.0329 | 0.0338 | 0.0018 | nan | nan |
| 2459833 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 4.110823 | 2.460317 | 3.811353 | 4.120026 | -0.431673 | 0.217181 | 4.432019 | 6.811046 | 0.0272 | 0.0257 | 0.0009 | nan | nan |
| 2459832 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 12.322598 | 15.018062 | 0.487739 | 1.597312 | -0.642380 | 1.046899 | 0.778949 | -0.368405 | 0.8202 | 0.5826 | 0.5582 | 4.819917 | 3.591206 |
| 2459831 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459830 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.856847 | 15.067814 | 0.191166 | 2.583555 | -1.602148 | -1.403699 | 1.759576 | 0.956862 | 0.8202 | 0.5848 | 0.5518 | 7.431403 | 6.148354 |
| 2459829 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.560208 | 16.929082 | 0.489177 | 2.546355 | 0.134958 | 4.440897 | 0.566736 | 0.333041 | 0.7738 | 0.6992 | 0.3991 | 9.965225 | 24.074205 |
| 2459828 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.924315 | 12.741841 | 0.233677 | 0.508499 | -0.639083 | -1.133400 | 2.345567 | 2.909195 | 0.8184 | 0.6019 | 0.5300 | 3.035312 | 2.315812 |
| 2459827 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.249750 | 14.810446 | 0.426659 | 0.619937 | -0.942958 | 0.266302 | 0.146576 | -0.019614 | 0.7831 | 0.7134 | 0.3981 | 10.354725 | 7.009901 |
| 2459826 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.698761 | 11.367688 | 0.268798 | 0.300757 | -1.204304 | -1.613234 | 0.569932 | 0.832701 | 0.8223 | 0.6359 | 0.4948 | 4.577056 | 3.891100 |
| 2459825 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.824965 | 11.838401 | 0.005205 | 0.095810 | -0.609564 | -1.256269 | -0.309244 | -0.519079 | 0.8232 | 0.6471 | 0.4924 | 3.003735 | 2.102801 |
| 2459824 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.478737 | 11.386128 | -0.041314 | -0.035031 | -1.131267 | -0.276430 | -0.165815 | -0.592952 | 0.7604 | 0.7797 | 0.3318 | -0.000000 | -0.000000 |
| 2459823 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.861247 | 8.551935 | -0.077167 | 0.198783 | -0.534924 | -1.205590 | -0.133621 | -0.470597 | 0.7908 | 0.6856 | 0.4429 | 18.337541 | 11.158559 |
| 2459822 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.523819 | 11.176847 | -0.108959 | 0.248041 | -0.871964 | -1.100572 | 0.338930 | 0.662148 | 0.8281 | 0.6667 | 0.4889 | 7.164878 | 5.326635 |
| 2459821 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.816778 | 10.511901 | -0.219434 | -0.000617 | -1.279211 | -1.376676 | -0.689570 | -0.119558 | 0.8237 | 0.6733 | 0.4886 | 3.069736 | 2.752241 |
| 2459820 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.551369 | 12.867673 | -0.114382 | 0.133458 | -0.180957 | -0.178929 | 1.112209 | 0.941150 | 0.8012 | 0.7213 | 0.3884 | 9.720049 | 7.732206 |
| 2459817 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.837641 | 8.809119 | -0.281626 | -0.029535 | -0.892971 | -0.696596 | 0.996704 | 1.044392 | 0.8277 | 0.7039 | 0.4852 | 3.847402 | 3.200168 |
| 2459816 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.235007 | 9.633245 | -0.286317 | -0.003954 | -0.919490 | -0.257699 | 0.144544 | 1.791749 | 0.8607 | 0.6450 | 0.5598 | 5.290550 | 4.149223 |
| 2459815 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.322012 | 8.284675 | -0.255363 | -0.141082 | -1.329526 | -1.102115 | 0.879971 | 1.804947 | 0.8241 | 0.7135 | 0.4987 | 6.638338 | 5.536469 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 14.312490 | 17.534150 | -0.296105 | -0.209887 | -0.347796 | -0.637066 | 0.429599 | 0.020088 | 0.0881 | 0.0939 | 0.0245 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 14.339033 | 9.935748 | 14.339033 | 2.104990 | 2.443745 | -1.248689 | 0.198955 | 0.224346 | 1.378840 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 19.793135 | 13.440780 | 19.793135 | 0.534326 | 0.863160 | -0.787142 | 0.263113 | 0.358662 | 0.690853 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 15.226107 | 10.250099 | 15.226107 | 1.245036 | 1.520562 | -1.141935 | 0.772341 | -0.534611 | -0.329831 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 13.850278 | 13.850278 | 9.469198 | 1.906658 | 1.477072 | 0.410113 | -1.438637 | -0.085472 | 0.070616 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 10.892439 | 10.892439 | 7.851535 | 1.957000 | 1.789583 | 0.096336 | -1.093527 | 0.139838 | 0.089824 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 17.392706 | 11.926053 | 17.392706 | 0.993875 | 1.471487 | -0.823437 | 0.247619 | -0.182057 | 0.255988 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 14.958908 | 10.059381 | 14.958908 | 0.964126 | 1.458700 | -0.462569 | 0.342020 | -0.273226 | -0.033198 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 11.133306 | 8.445053 | 11.133306 | 1.246180 | 1.741574 | -1.097742 | -0.138680 | 0.002332 | -0.220903 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 12.495589 | 12.495589 | 9.246336 | 2.090403 | 1.292272 | 0.311605 | -1.294246 | -0.740637 | -0.653473 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 14.887343 | 10.484155 | 14.887343 | 1.681503 | 2.024749 | -1.403429 | 1.332755 | 0.122655 | -0.279302 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 15.487307 | 15.487307 | 12.076482 | 0.105559 | -0.036870 | -0.567453 | -1.026236 | 0.630539 | -0.069972 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 11.262475 | 8.698293 | 11.262475 | -0.798395 | 0.393599 | -0.539196 | 2.233233 | -0.413118 | -0.225171 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 12.369826 | 9.869449 | 12.369826 | 0.658128 | 0.097564 | -0.682208 | -1.080158 | -0.553420 | -0.593003 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 9.525082 | 9.525082 | 7.025123 | 0.655614 | -0.771784 | 1.607419 | 0.022649 | -0.202206 | -0.329606 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 10.279040 | 7.840048 | 10.279040 | 0.765243 | 0.060865 | -1.066186 | 0.011209 | -0.313197 | -0.532069 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 8.341480 | 6.483541 | 8.341480 | -0.899819 | 0.691937 | -0.005580 | 1.534521 | -0.560089 | -0.410991 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 9.328882 | 9.328882 | 7.017819 | 0.604284 | -0.922921 | 2.102357 | 0.260216 | -0.263395 | -0.559980 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Temporal Discontinuties | 9.785081 | 6.099501 | 9.569482 | 2.009024 | 1.550432 | 0.710322 | 3.442814 | 9.785081 | 2.422557 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 12.993538 | 10.451875 | 12.993538 | 1.039295 | 0.000499 | -1.162905 | -0.108910 | -0.870204 | -0.513154 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 14.861576 | 14.861576 | 11.697784 | -0.133902 | 0.822616 | -0.309701 | -0.395788 | -0.704598 | -0.800898 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 15.241089 | 15.241089 | 11.766460 | -0.153254 | 1.600543 | -0.598037 | -0.709216 | -0.430253 | -0.811745 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 11.100985 | 11.100985 | 8.461234 | -0.045194 | 2.529739 | 0.066857 | -0.941873 | 0.026592 | -0.242151 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 8.809410 | 6.428830 | 8.809410 | 2.565430 | -0.289284 | -0.163004 | 0.287669 | 1.335182 | -0.352611 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 9.110197 | 7.370721 | 9.110197 | 3.050521 | 0.045670 | 0.853798 | -0.080084 | 0.593489 | 0.031703 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 11.233578 | 8.193433 | 11.233578 | 2.520330 | -0.036369 | -0.320685 | -0.351297 | -0.222183 | -0.241609 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 12.934854 | 9.988155 | 12.934854 | 6.508980 | 0.735988 | -0.891003 | 0.747560 | -0.209737 | -0.064169 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 11.627961 | 11.627961 | 9.235065 | 1.140925 | 4.727008 | -0.736889 | -0.159774 | -0.535307 | -0.579437 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 13.052864 | 13.052864 | 10.277414 | 0.994788 | 4.402094 | -0.062763 | 0.076965 | -0.709943 | -0.844740 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 12.813623 | 10.408470 | 12.813623 | 3.850362 | 0.472398 | -1.180999 | 1.193353 | -0.800207 | -0.457030 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 6.972660 | 4.880191 | 6.972660 | 0.949020 | 1.376549 | 0.064538 | 0.438093 | 0.066847 | 0.483128 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | ee Shape | 65.679330 | 65.679330 | 50.699200 | 6.660757 | 7.378229 | 1.849084 | 5.059819 | 6.769161 | 9.591688 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Power | 17.957567 | 12.892934 | 16.807541 | 17.957567 | 15.748026 | 2.475062 | 1.561334 | 13.949819 | 8.886576 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 10.665647 | 10.665647 | 8.382065 | 0.460077 | 1.391113 | 1.581324 | -0.905498 | 0.202755 | -0.365317 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | ee Temporal Variability | 1.119764 | -0.774739 | 0.233785 | 0.140334 | -0.820229 | -1.038249 | 1.119764 | 1.031067 | 0.197331 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Temporal Discontinuties | 6.811046 | 2.460317 | 4.110823 | 4.120026 | 3.811353 | 0.217181 | -0.431673 | 6.811046 | 4.432019 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 15.018062 | 12.322598 | 15.018062 | 0.487739 | 1.597312 | -0.642380 | 1.046899 | 0.778949 | -0.368405 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 15.067814 | 11.856847 | 15.067814 | 0.191166 | 2.583555 | -1.602148 | -1.403699 | 1.759576 | 0.956862 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 16.929082 | 16.929082 | 14.560208 | 2.546355 | 0.489177 | 4.440897 | 0.134958 | 0.333041 | 0.566736 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 12.741841 | 12.741841 | 9.924315 | 0.508499 | 0.233677 | -1.133400 | -0.639083 | 2.909195 | 2.345567 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 14.810446 | 11.249750 | 14.810446 | 0.426659 | 0.619937 | -0.942958 | 0.266302 | 0.146576 | -0.019614 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 11.367688 | 11.367688 | 8.698761 | 0.300757 | 0.268798 | -1.613234 | -1.204304 | 0.832701 | 0.569932 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 11.838401 | 11.838401 | 8.824965 | 0.095810 | 0.005205 | -1.256269 | -0.609564 | -0.519079 | -0.309244 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 11.386128 | 9.478737 | 11.386128 | -0.041314 | -0.035031 | -1.131267 | -0.276430 | -0.165815 | -0.592952 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 8.551935 | 8.551935 | 5.861247 | 0.198783 | -0.077167 | -1.205590 | -0.534924 | -0.470597 | -0.133621 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 11.176847 | 8.523819 | 11.176847 | -0.108959 | 0.248041 | -0.871964 | -1.100572 | 0.338930 | 0.662148 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 10.511901 | 10.511901 | 7.816778 | -0.000617 | -0.219434 | -1.376676 | -1.279211 | -0.119558 | -0.689570 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 12.867673 | 10.551369 | 12.867673 | -0.114382 | 0.133458 | -0.180957 | -0.178929 | 1.112209 | 0.941150 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 8.809119 | 6.837641 | 8.809119 | -0.281626 | -0.029535 | -0.892971 | -0.696596 | 0.996704 | 1.044392 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 9.633245 | 9.633245 | 8.235007 | -0.003954 | -0.286317 | -0.257699 | -0.919490 | 1.791749 | 0.144544 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 8.284675 | 8.284675 | 6.322012 | -0.141082 | -0.255363 | -1.102115 | -1.329526 | 1.804947 | 0.879971 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | N08 | digital_ok | nn Shape | 17.534150 | 17.534150 | 14.312490 | -0.209887 | -0.296105 | -0.637066 | -0.347796 | 0.020088 | 0.429599 |